Wednesday, July 15, 2026
ProGreenCode
A VS Code extension and CI plugin that estimates the CO₂ emissions from AI coding sessions—tracking Copilot, Cursor, and ChatGPT usage—and suggests efficiency gains like switching to local models or batching generations, adding an eco-badge to the repo’s README.
Target Audience
Climate-conscious engineering teams at mid-size tech companies that already track cloud carbon but have no visibility into the hidden emissions of AI pair programming. They feel personally guilty after reading viral posts about AI energy waste.
Why Now
The Dev.to post 'my ai coding session burns more power than the average nigerian gets all day' resonated with a huge audience this week, and Lobsters featured 'Low Resource Computing 2026' simultaneously. These signals show a ready community willing to adopt tools that make AI’s environmental cost transparent and actionable.
Export to .md with a startup plan — implementation, monetization, first customers.
Pro →Ask AI about this idea
Where to start?